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» Algorithms for Distributed Constraint Satisfaction: A Review
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CP
2003
Springer
14 years 1 months ago
Open Constraint Optimization
Constraint satisfaction has been applied with great success in closed-world scenarios, where all options and constraints are known from the beginning and fixed. With the internet,...
Boi Faltings, Santiago Macho-Gonzalez
EMO
2009
Springer
174views Optimization» more  EMO 2009»
14 years 3 months ago
Constraint Programming
To model combinatorial decision problems involving uncertainty and probability, we introduce stochastic constraint programming. Stochastic constraint programs contain both decision...
Pascal Van Hentenryck
SCP
1998
107views more  SCP 1998»
13 years 8 months ago
A Distributed Arc-Consistency Algorithm
Consistency techniques are an e cient way of tackling constraint satisfaction problems (CSP). In particular, various arc-consistency algorithms have been designed such as the time...
T. Nguyen, Yves Deville
AUTOMATICA
2010
98views more  AUTOMATICA 2010»
13 years 8 months ago
Explicit use of probabilistic distributions in linear predictive control
: The guarantee of feasibility given feasibility at initial time is an issue that has been overlooked by many of the recent papers on stochastic model predictive control. Effective...
Basil Kouvaritakis, Mark Cannon, Sasa V. Rakovic, ...
CP
2006
Springer
14 years 11 days ago
A New Algorithm for Sampling CSP Solutions Uniformly at Random
The paper presents a method for generating solutions of a constraint satisfaction problem (CSP) uniformly at random. The main idea is to express the CSP as a factored probability d...
Vibhav Gogate, Rina Dechter